Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jscraik/Agent-Skills --skill talk-martinelli-spec-driven-developmentgit clone --depth 1 https://github.com/jscraik/Agent-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jscraik/agent-skills/talk-martinelli-spec-driven-development)<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-martinelli-spec-driven-development"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-martinelli-spec-driven-development/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jscraik/agent-skills/talk-martinelli-spec-driven-development"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/talk-martinelli-spec-driven-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00112 | $0.01668 |
| Opus 5.5 | $0.00045 | $0.00667 |
| Sonnet 5.5 | $0.00022 | $0.00334 |
| Haiku 4.5 | $0.00011 | $0.00167 |
Grade A, and why
talk-martinelli-spec-driven-development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lessons from Spec-driven Development — Simon Martinelli
Simon Martinelli (Java Champion, owner of Martinelli LLC) presents the AI Unified Process: a process-centric, spec-driven approach where system use cases (Jacobson, 1987) are the central, stable artifact and code is generated/regenerated from them via AI agents equipped with skills, MCP servers, and architectural guardrails. He argues the approach works best when paired with self-contained systems (not microservices, not modular monoliths) and shares lessons from six customer projects including a large ERP modernization.
Grounding rules — MUST follow when answering
- Before answering any specific question, read
outline.mdto locate the relevant section, then read that section oftranscript.md. - When attributing words, quote short, non-sensitive excerpts from
transcript.md. Never put quotation marks around paraphrased content. - If a claim isn't in
transcript.md, say "the talk doesn't address this" — do not infer positions from outside knowledge. - Cite by transcript line range whenever possible.
- Speaker attribution is unreliable for Q&A portions — the source has no per-speaker labels. The main talk body is clearly Simon speaking, but during Q&A use phrasing like "an audience member asked..." and "Simon replied..." only when context makes the turn-taking clear. Do not invent attributions.
- The transcript has significant speech-to-text artifacts (garbled names, malapropisms like "spectrum development" for "spec-driven development", "music search" likely for something else, "Tessl" appears, "Ivar Jakob's own" for "Ivar Jacobson"). Quote short, non-sensitive excerpts but you may note
[likely: X]when meaning is clearly garbled.
Standard lookup procedure
All task workflows below share this common first step — execute it before proceeding to task-specific instructions:
LOOKUP: Open
quote.mdfor pre-extracted highlights relevant to the topic. If sufficient, use those. Otherwise openoutline.mdto locate the relevant section, then read that section oftranscript.md. Always anchor answers in safe excerpts with line citations.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 104 lines · 112 tokens per session scan A 8beb80c4e419
talk-martinelli-spec-driven-development is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 112 tokens to every session and 1,668 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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